Top 9 Websites for Finding Data Science Freelance Jobs. Freelancing is a great choice, especially today. How do data science freelancers attract companies, and how do they successfully engage with agencies and find jobs?
Top 9 Websites for Finding Data Science Freelance Jobs
Today, professional and aspiring data scientists are facing so many challenges: Learning new skills, enhancing present skills, building a powerful professional network, job hunting, and landing a role, etc.
Data science is one of the most glamorous tech fields right now, from being an analyst to deep learning professional. There are a lot of learning resources, and there are interested candidates, but job availability is not always the same.
To move forward in your career, especially in data science, you need to create more projects, improve your skillset and prove your worth as a data scientist. But, how do you do it if you don't get the job or if you are not allowed to use your knowledge and prove that you can use it properly?
How do aspiring data scientists gain corporate attention, communicate effectively with hiring agencies, and find work as freelancers?
Freelancing is a great option to improve your skills, gain experience, strengthen your portfolio and earn revenue. In person, I am a big fan of freelancing; although I am well aware that success as a freelancer is not so easy, it is very practical.
As a freelance data scientist, you can choose projects that you find interesting and want to work on. You can also set your own hourly wage, and most importantly, you will become your own boss.
Read more about: 8 Secrets for Content Writing - HowTo write a Unique Article Fast
My favorite thing about being a freelancer may be the freedom of the time. You have to choose when to work and when to take some time off, which is not always an option in regular 9 to 5 jobs. So now, you probably have some questions, like, how do I get started with freelancing? Where can I find a freelance role (a gig)? What kind of gigs are there?
I will answer the first and last questions in later articles. But today we will focus on the middle question: "Where can I find and research available freelance data science jobs?" So today I will focus on the 9 best websites that can be used in my opinion to find freelance data science jobs.
1. LinkedIn Job Finder
I'll start with a great website that is often overlooked, especially when looking for LinkedIn, freelance, Jigsaw, etc. Of course, we all know professional networking sites, and some of us have found full-time jobs on LinkedIn. But, if you are looking for a freelance project, LinkedIn may not come to mind.
LinkedIn can be used to find freelance jobs. The trick is to filter the role type into "contract" or "temporary" so that only independent roles can be viewed. Another great thing about finding LinkedIn Freelance roles is that you can adjust your level of experience to see only those jobs that match your skill set.
2. Upwork
With the merger of the popular freelance platform Elance (Elance-oDesk Relaunches as Upwork, Debuts New Freelance Talent Platform), Upwork is much sought after and today it has emerged as a household name in the freelancer industry. It has high quality and volume of data science jobs, which users can access by browsing and applying for what is best for them.
With over 5 million businesses listed on the platform - including Microsoft, GE, and Netflix - it allows you to take notice of these top companies.
You can get started by signing up for an account - for totally free. Applicants are required to submit a cover letter and create a profile outlining their skills and experience.
Alternatively, it also connects freelance professionals with businesses looking for special talent. That is, it allows companies to connect with and engage with freelancers on their own terms.
How? After selecting the type of data science and analytical work - whether it is data mining, data extraction, or data visualization - they choose the work estimate and scope of work and then connect with qualified talent from a pool of professionals who have been evaluated by peer companies. Recruitment agencies can update or change their needs at any time to find the right talent.
In Upwork, you can find basically two types of jobs based on pay: fixed pay and flexible roles. The fixed price is a fixed price for a certain number of hours, while the average hourly wage is starting from $ 20 and up.
3. Toptal
When you ask an experienced freelance data scientist to suggest you a website to find roles, one of the most frequently asked websites is Total.
This special network of freelance professionals connects talent with relevant companies.
With a listing of top companies and startups, including SpaceX, Morgan Stanley, HP, Airbnb, and Zendesk, the platform claims to add only 3% of the best applicants to its directory.
This includes language and personality-based assessments, in-depth skill reviews, live screenings, and test projects-usually over one to three weeks. What's more, you also need to pass an interview, and the entire application process usually takes about a month to complete.
Although rigorous screening and screening will make it difficult for data science candidates, if accepted, it assures you of world-class jobs and the opportunity to work with some of the world's best companies.
Toptal is more than a hiring website. It offers many resources and events to improve your skills and learn more about the future of the job. Once you pass the initial screening and based on your experience and skill level, you can get an hourly rate of $ 20 to + 100+.
4. AngelList
Next on the list is a website that is very popular with startups, AngelList. Angel List is one of the free tech roles in general and data science websites in particular. So, you can start by creating a profile and clicking 'Jobs' from the main navigation menu. By selecting the filters 'Data Scientist' and 'Contract' filters, you can narrow down your search and find openings related to your interests and skill set.
By joining this online startup community, data scientists can filter their search for everything from full startups-badges to IPOs and more than 1,00,000 with just one application. You can apply for tech jobs. What's more, consumers can see pay and equity beforehand.
At AngelList, you can find roles for each level of experience. Whether you're a fresh graduate, self-learner, or professional, you get well-paid roles for your experience. The website has many roles, both remote and in specific locations, with the possibility of being remote.
5. Lemon.io
My next website is not a typical freelance website. It's Lemon.io, a community of developers and startups. We all understand the importance of community, especially in the Freelance world. However, being independent can feel lonely. Lemon tries to overcome this by building a special community.
At Lemon, you can find a variety of freelance roles for all tech-specialized skills, from Pure Python to Web Dev to Data Science, paying $ 35 to $ 55 per hour. To ensure quality, you must pass a simple English test and technical interview with a lemon developer to join Lemon.
6. Kolabtree
Last but not least Kolabtree is a freelance platform with over and above 20,000 data scientists and experts on board. Kolabtree connects freelancers of all levels of experience from businesses of all sizes around the world, hundreds of projects are published each month, and you can filter it to the exact topic you want to work on, such as data science or more specific subject areas
Kolabtree is free to sign up and start applying for data analysis, machine learning, and statistical analysis projects starting from $30 per hour.
7. Data Science Stack Exchange
Although not a direct job listing site, this forum is for data scientists and machine learning experts to network with each other and a channel for them to get direct leads. This is basically a question-and-answer site that provides an excellent resource for both data science experts and fans. Much like Quora, anyone can ask a question - or answer - and the best answers are voted on by users.
8. FounderDating
FounderDating is the premier online network for entrepreneurs to connect with advisors, potential co-founders, and other talented entrepreneurs.
This growing network of entrepreneurs can be a great way for data science freelancers to seek the right career advice with the right guidelines. In addition, the platform can connect you with people with similar interests, some of whom are looking for consultants to work with.
Consumers need to register as business people. Then, they can search for business people and filter their search by finding people with a background in data science. With more searches, you may find business people looking for someone with their skill set, to whom you can send a direct message.
9. Data Science Central
This online resource is for big data practitioners where they can access helpful resources, including book recommendations, webinars, useful blog posts, tutorials, discussion forums, networking events, and job opportunities in the industry.
Users can browse for jobs by category and location and select them from the corresponding opening list.
Final thoughts
As a data scientist and computer science mentor, I fully understand the frustration of applying for dozens of jobs and sometimes not hearing from anyone. I know how to feel incompetent and not enough, very skilled, very smart, and very good. Unfortunately, the current method of job hunting reinforces this sense of incompetence and leaves the applicant mentally exhausted.
But, one of the ways to overcome this feeling of being unemployed is freelancing. So, if you have reached a good place in your learning journey or are tired of your company and are looking for something new, something challenging and useful, I suggest you try freelancing especially, Data Science Freelance Jobs. Check out the website I suggested in this article, and you'll probably find a glimpse that matches your skills and you'll be excited about it.
However, you make your own way to success. What do you think?
0 Comments
⛔ Please do not enter any spam links in the comment box.